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Paper Citation Record · LEDGER

Learning Graph Structures and Uncertainty for Accurate and Calibrated Time-series Forecasting

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.02641.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2407.02641 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-21T00:13:07.546472Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation c28285bc-eef4-429a-a433-0d337f0860f8 · inbound

Experiment-as-Code Labs: A Declarative Stack for AI-Driven Scientific Discovery cites this paper.

Experiment-as-Code Labs: A Declarative Stack for AI-Driven Scientific Discovery Learning Graph Structures and Uncertainty for Accurate and Calibrated Time-series Forecasting

Reference 83

Resolution
verified exact
arxiv_id, observed 2026-05-08T20:04:06.673037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-08T17:28:41.217810Z digest=sha256:4f269546e5b6d573758f36f35f72a415cac0a5b968c42c37f1f5a37fc1107ed2

Observation 3de47bf7-82c3-4265-a9e3-770b54fb537d · inbound

Experiment-as-Code Labs: A Declarative Stack for AI-Driven Scientific Discovery cites this paper.

Experiment-as-Code Labs: A Declarative Stack for AI-Driven Scientific Discovery Learning Graph Structures and Uncertainty for Accurate and Calibrated Time-series Forecasting

Reference 83

Resolution
verified exact
arxiv_id, observed 2026-05-21T00:13:52.593458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-21T00:13:07.546472Z digest=sha256:34f69d94ce8bfc425f5d6efb614ea4a661471c175de1ccc5476b30b439a64d0e